I wanted to point anybody interested to a blog post that describes a
useful pattern for having a NumPy array that points to the memory
created by a different memory manager than the standard one used by
NumPy. The pattern shows how to create a NumPy array that points to
previously allocated memory and then shows how to construct an object
that allows the correct deallocator to be called when the NumPy array is
freed.
This may be useful if you are wrapping code that has it's own memory
management scheme. Comments and feedback is welcome.
The post is
http://blog.enthought.com/?p=62
Best regards,
-Travis Oliphant